scholarly journals Challenges and Opportunities for Biological Mass Spectrometry Core Facilities in the Developing World

2018 ◽  
Vol 29 (1) ◽  
pp. 4-15
Author(s):  
Liam Bell ◽  
Bridget Calder ◽  
Reinhard Hiller ◽  
Ashwil Klein ◽  
Nelson C. Soares ◽  
...  
Author(s):  
S. Chebanov

This is a publication of the materials of academic conference “The world in the process of change: challenges and opportunities for Russia” held in April 2011 in IMEMO and chaired by academician A. Dynkin, the Institute’s Director. The conference was dedicated to the 90th anniversary of academician N. Inozemtsev. In their reports the Conference participants analyze the Russian economic and political development at the current stage, the issues of modernization, the problems of the developing world, international security in the XX century, etc.


Author(s):  
Amir Manzoor

Due to globalization of economic activities and increased scope of higher education, higher education has become a priority agenda for countries around the globe. In order increase opportunities of higher education, institutions of higher education must enhance their quality and access through open and distance learning while following national and international standards. For developing countries, higher education opportunities through open and distance learning are important for economic prosperity and participation in global knowledge economy. Globalization has created numerous challenges and opportunities for higher education. These challenges are more significant for developing countries because of limited resources. At the same time, meeting these challenges is a top priority of developing world. This chapter examines numerous challenges faced by higher education in developing countries. The chapter also discusses how higher education institutions in developing world can use open and distance learning to cope up with these challenges.


Author(s):  
Haipeng Wang

Protein identification (sequencing) by tandem mass spectrometry is a fundamental technique for proteomics which studies structures and functions of proteins in large scale and acts as a complement to genomics. Analysis and interpretation of vast amounts of spectral data generated in proteomics experiments present unprecedented challenges and opportunities for data mining in areas such as data preprocessing, peptide-spectrum matching, results validation, peptide fragmentation pattern discovery and modeling, and post-translational modification (PTM) analysis. This article introduces the basic concepts and terms of protein identification and briefly reviews the state-of-the-art relevant data mining applications. It also outlines challenges and future potential hot spots in this field.


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